GraphDefOrBuilder

رابط عمومی GraphDefOrBuilder
زیر کلاس های غیر مستقیم شناخته شده

روش های عمومی

Abstract FunctionDefLibrary
getLibrary ()
 EXPERIMENTAL.
Abstract FunctionDefLibraryOrBuilder
getLibraryOrBuilder ()
 EXPERIMENTAL.
NodeDef انتزاعی
getNode (شاخص int)
repeated .tensorflow.NodeDef node = 1;
انتزاعی
getNodeCount ()
repeated .tensorflow.NodeDef node = 1;
فهرست انتزاعی< NodeDef >
getNodeList ()
repeated .tensorflow.NodeDef node = 1;
NodeDefOrBuilder انتزاعی
getNodeOrBuilder (int index)
repeated .tensorflow.NodeDef node = 1;
فهرست چکیده <? NodeDefOrBuilder > را گسترش می دهد
getNodeOrBuilderList ()
repeated .tensorflow.NodeDef node = 1;
انتزاعی
getVersion ()
 Deprecated single version field; use versions above instead.
انتزاعی VersionDef
getVersions ()
 Compatibility versions of the graph.
انتزاعی VersionDefOrBuilder
getVersionsOrBuilder ()
 Compatibility versions of the graph.
بولی انتزاعی
دارای کتابخانه ()
 EXPERIMENTAL.
بولی انتزاعی
دارای نسخه ()
 Compatibility versions of the graph.

روش های عمومی

چکیده عمومی FunctionDefLibrary getLibrary ()

 EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
 "library" provides user-defined functions.
 Naming:
   * library.function.name are in a flat namespace.
     NOTE: We may need to change it to be hierarchical to support
     different orgs. E.g.,
     { "/google/nn", { ... } },
     { "/google/vision", { ... } }
     { "/org_foo/module_bar", { ... } }
     map<string, FunctionDefLib> named_lib;
   * If node[i].op is the name of one function in "library",
     node[i] is deemed as a function call. Otherwise, node[i].op
     must be a primitive operation supported by the runtime.
 Function call semantics:
   * The callee may start execution as soon as some of its inputs
     are ready. The caller may want to use Tuple() mechanism to
     ensure all inputs are ready in the same time.
   * The consumer of return values may start executing as soon as
     the return values the consumer depends on are ready.  The
     consumer may want to use Tuple() mechanism to ensure the
     consumer does not start until all return values of the callee
     function are ready.
 
.tensorflow.FunctionDefLibrary library = 2;

چکیده عمومی FunctionDefLibraryOrBuilder getLibraryOrBuilder ()

 EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
 "library" provides user-defined functions.
 Naming:
   * library.function.name are in a flat namespace.
     NOTE: We may need to change it to be hierarchical to support
     different orgs. E.g.,
     { "/google/nn", { ... } },
     { "/google/vision", { ... } }
     { "/org_foo/module_bar", { ... } }
     map<string, FunctionDefLib> named_lib;
   * If node[i].op is the name of one function in "library",
     node[i] is deemed as a function call. Otherwise, node[i].op
     must be a primitive operation supported by the runtime.
 Function call semantics:
   * The callee may start execution as soon as some of its inputs
     are ready. The caller may want to use Tuple() mechanism to
     ensure all inputs are ready in the same time.
   * The consumer of return values may start executing as soon as
     the return values the consumer depends on are ready.  The
     consumer may want to use Tuple() mechanism to ensure the
     consumer does not start until all return values of the callee
     function are ready.
 
.tensorflow.FunctionDefLibrary library = 2;

انتزاعی عمومی NodeDef getNode (شاخص int)

repeated .tensorflow.NodeDef node = 1;

انتزاعی عمومی int getNodeCount ()

repeated .tensorflow.NodeDef node = 1;

فهرست انتزاعی عمومی< NodeDef > getNodeList ()

repeated .tensorflow.NodeDef node = 1;

انتزاعی عمومی NodeDefOrBuilder getNodeOrBuilder (int index)

repeated .tensorflow.NodeDef node = 1;

فهرست چکیده عمومی<? توسعه NodeDefOrBuilder > getNodeOrBuilderList ()

repeated .tensorflow.NodeDef node = 1;

عمومی انتزاعی int getVersion ()

 Deprecated single version field; use versions above instead.  Since all
 GraphDef changes before "versions" was introduced were forward
 compatible, this field is entirely ignored.
 
int32 version = 3 [deprecated = true];

انتزاعی عمومی VersionDef getVersions ()

 Compatibility versions of the graph.  See core/public/version.h for version
 history.  The GraphDef version is distinct from the TensorFlow version, and
 each release of TensorFlow will support a range of GraphDef versions.
 
.tensorflow.VersionDef versions = 4;

انتزاعی عمومی VersionDefOrBuilder getVersionsOrBuilder ()

 Compatibility versions of the graph.  See core/public/version.h for version
 history.  The GraphDef version is distinct from the TensorFlow version, and
 each release of TensorFlow will support a range of GraphDef versions.
 
.tensorflow.VersionDef versions = 4;

دارای کتابخانه عمومی انتزاعی بولی ()

 EXPERIMENTAL. DO NOT USE OR DEPEND ON THIS YET.
 "library" provides user-defined functions.
 Naming:
   * library.function.name are in a flat namespace.
     NOTE: We may need to change it to be hierarchical to support
     different orgs. E.g.,
     { "/google/nn", { ... } },
     { "/google/vision", { ... } }
     { "/org_foo/module_bar", { ... } }
     map<string, FunctionDefLib> named_lib;
   * If node[i].op is the name of one function in "library",
     node[i] is deemed as a function call. Otherwise, node[i].op
     must be a primitive operation supported by the runtime.
 Function call semantics:
   * The callee may start execution as soon as some of its inputs
     are ready. The caller may want to use Tuple() mechanism to
     ensure all inputs are ready in the same time.
   * The consumer of return values may start executing as soon as
     the return values the consumer depends on are ready.  The
     consumer may want to use Tuple() mechanism to ensure the
     consumer does not start until all return values of the callee
     function are ready.
 
.tensorflow.FunctionDefLibrary library = 2;

دارای نسخه های بولی انتزاعی عمومی ()

 Compatibility versions of the graph.  See core/public/version.h for version
 history.  The GraphDef version is distinct from the TensorFlow version, and
 each release of TensorFlow will support a range of GraphDef versions.
 
.tensorflow.VersionDef versions = 4;